Staff Data Scientist

Join the team as our next STAFF, DATA SCIENTIST

Twilio powers real-time business communications and data solutions that help companies and developers worldwide build better applications and customer experiences.

Although we're headquartered in San Francisco, we're on a journey to becoming a globally antiracist company that supports diversity, equity & inclusion wherever we do business. We employ thousands of Twilions worldwide, and we're looking for more builders, creators, and visionaries to help fuel our growth momentum.

This position is needed to help scale Twilio’s Consumer Trust organisation by providing strategic insights, predicting fraud/abuse at scale, and automating processes to ensure that communication across Twilio platforms remains legal, safe and wanted. 

As a Staff - Data Scientist, you thrive at wrangling large amounts of data, building complex predictive models, and scaling and automating processes. You will partner with Architects, Product Managers and Operational Leaders for developing anti-fraud/ anti-abuse solutions for our customers.

In this role, you’ll:

• Partner with product managers to scope, design, and implement machine learning models for state-of-the-art Anti-Fraud/ Anti-Abuse solutions
• Perform clustering, natural language processing, classification and other quantitative analyses to inform data-driven decision making
• Feature engineer disparate data sets from multiple data sources, perform feature selection, model evaluation, and deployment
• Utilize APIs to further extract and enrich data
• Use cloud platforms such as AWS, Heroku, or GCP to handle larger scale data
• Partner with operational teams to accelerate adoption of Anti-Fraud solutions
• Support operational leaders by developing code to automate manual processes 
• Develop and support an internal community of Anti-Fraud related subject matter experts
• Develop white papers, blogs, reference implementations, labs, and presentations to evangelize Twilio’s design patterns and best practices for Anti-Fraud/ Anti-Abuse solutions

Not all applicants will have skills that match a job description exactly. Twilio values diverse experiences in other industries, and we encourage everyone who meets the required qualifications to apply. While having “desired” qualifications make for a strong candidate, we encourage applicants with alternative experiences to also apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!

Required:

• A Ph.D./MS/Bachelor’s in Computer Science, statistics, or related field.
• 8+ years of applied ML experience in statistical and mathematical modeling such as supervised and unsupervised machine learning, deep learning, and/or reinforcement learning; or 6+ years and a Master’s degree; or a PhD with 3+ years experience.
• Hands on experience developing, deploying and monitoring a large scale machine learning model in production.
• Familiarity with concepts related to testing and maintaining models in production such as A/B testing, retraining, monitoring model performance
• Hands on experience with modern data storage, messaging, and processing tools (Kafka, Flink, Spark, Hadoop, Cassandra, etc.) and demonstrated experience designing and coding in big-data components such as DynamoDB or similar
• Deep understanding of frameworks like - PyTorch, TensorFlow, or Keras, why and how these frameworks do what they do
• Proficiency in Python is preferred. We will also consider strong quantitative candidates with a background in other programming languages such as Scala/Java

Desired:

• Experience developing products on AWS or Google Cloud Services.
• Experience in configuration management for deploying, configuring, and managing servers and systems.

Location 

This role will be based in our Bangalore, India office. Approximately 10% travel is anticipated.

There are many benefits to working at Twilio, including, in addition to competitive pay, things like generous time-off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.

We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic. Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts.

So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now!

If this role isn't what you're looking for, please consider other open positions.